{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Michel\Dropbox\campa-serafinelli\data\Table_2.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 7 Jul 2018, 22:15:59
{txt}
{com}. 
. *****TABLE 2****
. 
. * col 1 
. reg dmean_attitudes_prov dempl, rob

{txt}Linear regression                               Number of obs     = {res}        60
                                                {txt}F(1, 58)          =  {res}     1.20
                                                {txt}Prob > F          = {res}    0.2772
                                                {txt}R-squared         = {res}    0.0213
                                                {txt}Root MSE          =    {res} .24631

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}dmean_atti~v{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}dempl {c |}{col 14}{res}{space 2} .0079172{col 26}{space 2} .0072175{col 37}{space 1}    1.10{col 46}{space 3}0.277{col 54}{space 4}-.0065302{col 67}{space 3} .0223646
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3116346{col 26}{space 2} .2055393{col 37}{space 1}    1.52{col 46}{space 3}0.135{col 54}{space 4}-.0997969{col 67}{space 3} .7230661
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg dmean_attitudes_prov dempl, cluster(Dist_code)

{txt}Linear regression                               Number of obs     = {res}        60
                                                {txt}F(1, 13)          =  {res}     1.32
                                                {txt}Prob > F          = {res}    0.2714
                                                {txt}R-squared         = {res}    0.0213
                                                {txt}Root MSE          =    {res} .24631

{txt}{ralign 78:(Std. Err. adjusted for {res:14} clusters in Dist_code)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}dmean_atti~v{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}dempl {c |}{col 14}{res}{space 2} .0079172{col 26}{space 2} .0068927{col 37}{space 1}    1.15{col 46}{space 3}0.271{col 54}{space 4}-.0069736{col 67}{space 3} .0228079
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3116346{col 26}{space 2} .2011733{col 37}{space 1}    1.55{col 46}{space 3}0.145{col 54}{space 4} -.122974{col 67}{space 3} .7462431
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *boottest dempl=0, reps(1000)
. outreg2 using instrument.tex, dec(3) replace nocons adjr addtext(N clusters, 14, Bootstrapped p-value, 0.332) label
{txt}{stata `"shellout using `"instrument.tex"'"':instrument.tex}
{browse `"C:\Users\Michel\Dropbox\campa-serafinelli\data"' :dir}{com} : {txt}{stata `"seeout using "instrument.txt", label"':seeout}

{com}.  
. 
. label var dempl "$\Delta$ Fem Empl"
{txt}
{com}. label var dmean_at "$\Delta$ Women's attitudes"
{txt}
{com}. label var Instrument "IV"
{txt}
{com}. 
. * col 2
. reg dempl Instr if treated==1 & dmean_attitudes_prov!=., rob

{txt}Linear regression                               Number of obs     = {res}        60
                                                {txt}F(1, 58)          =  {res}    35.87
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2763
                                                {txt}Root MSE          =    {res} 3.9009

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       dempl{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Instrument {c |}{col 14}{res}{space 2} 82.96554{col 26}{space 2} 13.85278{col 37}{space 1}    5.99{col 46}{space 3}0.000{col 54}{space 4} 55.23619{col 67}{space 3} 110.6949
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 32.81147{col 26}{space 2} 1.312176{col 37}{space 1}   25.01{col 46}{space 3}0.000{col 54}{space 4} 30.18486{col 67}{space 3} 35.43807
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg dempl Instr if treated==1 & dmean_attitudes_prov!=., cluster(Dist_code)

{txt}Linear regression                               Number of obs     = {res}        60
                                                {txt}F(1, 13)          =  {res}     6.18
                                                {txt}Prob > F          = {res}    0.0273
                                                {txt}R-squared         = {res}    0.2763
                                                {txt}Root MSE          =    {res} 3.9009

{txt}{ralign 78:(Std. Err. adjusted for {res:14} clusters in Dist_code)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       dempl{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Instrument {c |}{col 14}{res}{space 2} 82.96554{col 26}{space 2} 33.37481{col 37}{space 1}    2.49{col 46}{space 3}0.027{col 54}{space 4} 10.86363{col 67}{space 3} 155.0674
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 32.81147{col 26}{space 2} 3.297876{col 37}{space 1}    9.95{col 46}{space 3}0.000{col 54}{space 4} 25.68684{col 67}{space 3}  39.9361
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *boottest Instr=0, reps(1000)
. outreg2 using instrument.tex, dec(3) append nocons adjr addtext(N clusters, 14, Bootstrapped p-value, 0.046, F-test, 6.18) label
{txt}{stata `"shellout using `"instrument.tex"'"':instrument.tex}
{browse `"C:\Users\Michel\Dropbox\campa-serafinelli\data"' :dir}{com} : {txt}{stata `"seeout using "instrument.txt", label"':seeout}

{com}. 
. * col 3
. reg dmean_attitudes_prov Instr if treated==1, rob

{txt}Linear regression                               Number of obs     = {res}        60
                                                {txt}F(1, 58)          =  {res}     3.54
                                                {txt}Prob > F          = {res}    0.0650
                                                {txt}R-squared         = {res}    0.0527
                                                {txt}Root MSE          =    {res} .24233

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}dmean_atti~v{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Instrument {c |}{col 14}{res}{space 2} 1.966912{col 26}{space 2} 1.045796{col 37}{space 1}    1.88{col 46}{space 3}0.065{col 54}{space 4}-.1264767{col 67}{space 3} 4.060301
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6688495{col 26}{space 2} .0754113{col 37}{space 1}    8.87{col 46}{space 3}0.000{col 54}{space 4} .5178974{col 67}{space 3} .8198016
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg dmean_attitudes_prov Instr if treated==1, cluster(Dist_code)

{txt}Linear regression                               Number of obs     = {res}        60
                                                {txt}F(1, 13)          =  {res}     8.03
                                                {txt}Prob > F          = {res}    0.0141
                                                {txt}R-squared         = {res}    0.0527
                                                {txt}Root MSE          =    {res} .24233

{txt}{ralign 78:(Std. Err. adjusted for {res:14} clusters in Dist_code)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}dmean_atti~v{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Instrument {c |}{col 14}{res}{space 2} 1.966912{col 26}{space 2} .6942702{col 37}{space 1}    2.83{col 46}{space 3}0.014{col 54}{space 4} .4670324{col 67}{space 3} 3.466792
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6688495{col 26}{space 2} .0462106{col 37}{space 1}   14.47{col 46}{space 3}0.000{col 54}{space 4} .5690176{col 67}{space 3} .7686814
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *boottest Instr=0, reps(1000)
. outreg2 using instrument.tex, dec(3) append nocons adjr addtext(N clusters, 14, Bootstrapped p-value, 0.126) label
{txt}{stata `"shellout using `"instrument.tex"'"':instrument.tex}
{browse `"C:\Users\Michel\Dropbox\campa-serafinelli\data"' :dir}{com} : {txt}{stata `"seeout using "instrument.txt", label"':seeout}

{com}. 
. * col 4
. ivreg2 dmean_attitudes_prov (dempl=Instr) if treated==1, rob
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity

{col 55}Number of obs = {res}      60
{txt}{col 55}F(  1,    58) = {res}    3.12
{txt}{col 55}Prob > F      = {res}  0.0825
{txt}Total (centered) SS     = {res} 3.595358417{txt}{col 55}Centered R2   = {res} -0.0633
{txt}Total (uncentered) SS   = {res}  19.9790512{txt}{col 55}Uncentered R2 = {res}  0.8086
{txt}Residual SS             = {res} 3.822997277{txt}{col 55}Root MSE      = {res}   .2524

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}dmean_atti~v{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}dempl {c |}{col 14}{res}{space 2} .0237076{col 26}{space 2} .0131917{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0021478{col 67}{space 3} .0495629
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.109031{col 26}{space 2} .3610075{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-.8165927{col 67}{space 3} .5985307
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  16.061
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0001
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  22.144
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  35.869
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}dempl
Excluded instruments:{col 23}Instrument
{hline 78}

{com}. ivreg2 dmean_attitudes_prov (dempl=Instr) if treated==1, cluster(Dist_code)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on Dist_code

Number of clusters (Dist_code) = {col 33}{res}    14{txt}{col 55}Number of obs = {res}      60
{txt}{col 55}F(  1,    13) = {res}    3.42
{txt}{col 55}Prob > F      = {res}  0.0873
{txt}Total (centered) SS     = {res} 3.595358417{txt}{col 55}Centered R2   = {res} -0.0633
{txt}Total (uncentered) SS   = {res}  19.9790512{txt}{col 55}Uncentered R2 = {res}  0.8086
{txt}Residual SS             = {res} 3.822997277{txt}{col 55}Root MSE      = {res}   .2524

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}dmean_atti~v{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}dempl {c |}{col 14}{res}{space 2} .0237076{col 26}{space 2} .0122496{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}-.0003011{col 67}{space 3} .0477163
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.109031{col 26}{space 2} .3302233{col 37}{space 1}   -0.33{col 46}{space 3}0.741{col 54}{space 4}-.7562568{col 67}{space 3} .5381948
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   3.731
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0534
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  22.144
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}   6.180
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}dempl
Excluded instruments:{col 23}Instrument
{hline 78}

{com}. *boottest dempl=0, reps(1000)
. outreg2 using instrument.tex, dec(3) append nocons adjr addtext(N clusters, 14, Bootstrapped p-value, 0.152) label
{txt}{stata `"shellout using `"instrument.tex"'"':instrument.tex}
{browse `"C:\Users\Michel\Dropbox\campa-serafinelli\data"' :dir}{com} : {txt}{stata `"seeout using "instrument.txt", label"':seeout}

{com}. log c
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Michel\Dropbox\campa-serafinelli\data\Table_2.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 7 Jul 2018, 22:16:00
{txt}{.-}
{smcl}
{txt}{sf}{ul off}